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ML
2002
ACM

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Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities

13 years 4 months ago

I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...

Peter Sollich

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